What can you contribute?

Track

What you’ll contribute

Example micro-tasks

Skills&Background Preference

LLM Fine-tune Data

High-quality, expert “know-how” Q&A to push DMind-1’s reasoning on a specific web3 fields like DeFi, NFTs, chain security, …

“Add 10 Solana Rust security Q&A pairs” or “10 Q&A pairs that shows the signals behind spotting reentrancy risks in EVM contract”

  • Solid understanding of Web3 topics

Web3 LLM Benchmark Items

Objective CSV quizzes & subjective audit prompts that expand the DMind Benchmark

“Create 5 ETH-L2 token-economics MCQs”

  • Domain knowledge in Web3 topics

  • Analytical thinking (prompt design, risk framing)

  • Basic data formatting skill

Ecosystem Projects

Bots, agents, SDKs, CLI tools powered by DMind-1

“Airdrop-watcher agent that auto-claims on-chain rewards”

  • Software development experience

  • Familiarity with LLM APIs and AI tool integration

(Bonus): Experience in agent frameworks or Web3 tooling

Tips:

  • You can start small (a single row of data) or propose a bigger dataset contribution—tasks scale to every time budget.

  • “Ecosystem Projects” track will be evaluated based on a different scale than the Data contribution

  • Contributions are rewarded through a transparent point system (MindPoints), with monthly cash grants, micro-grants ($500–$3,000), and leaderboard recognition on dmind.ai.

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